ArticleBMC evolutionary biology2013
Exploring power and parameter estimation of the BiSSE method for analyzing species diversification.
Article in BMC evolutionary biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.
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Who cites it
77 citing papers in PubMed, 1 synthesis or guideline pooled it, 290 citations in OpenAlex.
- Speciation through chromosomal fusion and fission in Lepidoptera.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Pooled it
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- SAASI: Sampling Aware Ancestral State Inference.Nature communications · 2026Article
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- No Consistent Effect of Migration on Speciation Rates in Two Avian Superfamilies: A Check on the Robustness of Trait-Dependent Diversification Methods.Systematic biology · 2026Article
- Co-evolving infectivity and expression patterns drive the diversification of endogenous retroviruses.The EMBO journal · 2026Article
- When the sand blossoms: Phylogeny, trait evolution, and geography of speciation in Linanthus.American journal of botany · 2025Article
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- Fossils improve extinction-rate estimates under state-dependent diversification models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- PhyloJunction: A Computational Framework for Simulating, Developing, and Teaching Evolutionary Models.Systematic biology · 2024Article
- Climatic and biogeographic processes underlying the diversification of the pantropical flowering plant family Annonaceae.Frontiers in plant science · 2024Article
- PhyloJunction: a computational framework for simulating, developing, and teaching evolutionary models.bioRxiv : the preprint server for biology · 2023Article
- Impact of Phylogenetic Tree Completeness and Mis-specification of Sampling Fractions on Trait Dependent Diversification Models.Systematic biology · 2023Article
- Female dewlap ornaments are evolutionarily labile and associated with increased diversification rates inProceedings. Biological sciences · 2022Article
- Diversification dynamics in the Neotropics through time, clades, and biogeographic regions.eLife · 2022Article
- Bird lineages colonizing urban habitats have diversified at high rates across deep time.Global ecology and biogeography : a journal of macroecology · 2022Article
- Delayed Adaptive Radiation among New Zealand Stream Fishes: Joint Estimation of Divergence Time and Trait Evolution in a Newly Delineated Island Species Flock.Systematic biology · 2021Article
- Macroevolutionary consequences of mast seeding.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
17 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere has been a considerable increase in studies investigating rates of diversification and character evolution, with one of the promising techniques being the BiSSE method (binary state speciation and extinction). This study uses simulations under a variety of different sample sizes (number of tips) and asymmetries of rate (speciation, extinction, character change) to determine BiSSE's ability to test hypotheses, and investigate whether the method is susceptible to confounding effects.
resultsWe found that the power of the BiSSE method is severely affected by both sample size and high tip ratio bias (one character state dominates among observed tips). Sample size and high tip ratio bias also reduced accuracy and precision of parameter estimation, and resulted in the inability to infer which rate asymmetry caused the excess of a character state. In low tip ratio bias scenarios with appropriate tip sample size, BiSSE accurately estimated the rate asymmetry causing character state excess, avoiding the issue of confounding effects.
conclusionsBased on our findings, we recommend that future studies utilizing BiSSE that have fewer than 300 terminals and/or have datasets where high tip ratio bias is observed (i.e., fewer than 10% of species are of one character state) should be extremely cautious with the interpretation of hypothesis testing results.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.